Staff Applied AI Engineer, Devops
Mistral AI2 months ago
Seoul, Korea, SouthStaff+
Responsibilities
- Onboard customers to Mistral products and provide guidance on deployment, integration, and production setup.
- Deploy and scale AI applications across consumer and industrial use cases.
- Own end-to-end customer projects spanning GPU infrastructure, cloud and on-premises infrastructure, backend and frontend interfaces.
- Collaborate with researchers, AI engineers, and product engineers on inference, fine-tuning, deployment, scaling, and open-source codebases.
- Participate in pre-sales calls, understand customer needs, and explain Mistral technologies to technical and non-technical stakeholders.
Requirements
- Fluency in English and Korean.
- Bachelor's or master's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in a DevOps or Site Reliability Engineering role.
- Experience deploying and managing AI-based products in production environments.
- Fluency in Python.
- Experience with Docker, Kubernetes, CI/CD pipelines, automated deployment tools, AWS, Azure, GCP, on-premises infrastructure, and infrastructure-as-code tools such as Terraform or Ansible.
- Strong communication skills and the ability to explain complex technical concepts clearly.
- Preferred experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager.
- Preferred familiarity with PyTorch or TensorFlow and contributions to DevOps or AI open-source projects.
Benefits
- Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal allowances, transportation allowances, and other location-specific perks.
Tech Stack
Categories
Solutions Engineering
About Mistral AI
Mistral AI builds foundation language models and full‑stack AI solutions for enterprises, offering APIs, on‑prem deployment, developer tools, and applications. The privately held company, founded in 2023 and headquartered in Paris, partners with organizations in finance, manufacturing, defense, healthcare, and the public sector to co‑create customized systems. It releases open‑source models alongside commercial offerings and makes its models available through major cloud marketplaces.